Feature/mdf data sources - #69
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Jul 31, 2026
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The databricks pypi-proxy is not reachable from the GH runner and this might be the reason why the lint check fails. Please check the uv.lock file of Impulse in the main branch: https://github.com/databrickslabs/impulse/blob/main/uv.lock
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Summary
Adds 3 DataSources for MF4 binary file loading, required data readers as well as a quickstart guide ("QUICKSTART.md" in the data_sources subdirectory). This is the first of many planned data sources to be added to impulse. The introduced readers are optimized to work with spark and use a stripe-memory reading approach to optimize IO-calls and general throughput compared to other solutions available. Please review the "README.md" in the code directory for details.
Currently this feature is experimental, since some parts of the mf4 standard are not yet implemented, missing functionality shall be added in the future once required. For a full list of current limitations review "KNOWN_LIMITATIONS.md" in the sub directory.
A Databricks Industry Solution that uses these data sources for a end-to-end ingestion pipeline is coming soon.
Changes
Test Plan
Checklist